Mass Appr Flashcards
Also none as continuous are based on measurements or count for example size, sq ft of living space, or number of bathrooms.Tends to be objective and verifiable
Quantitative Variables
Qualitative Variables
data or variables also termed as categorical or discrete represent property features or attributes that fall into predefined categories, examples are construction grade,condition, building style, and type of heating and cooling. Data collectors normally assign codes for such features from a predefined list.
Binary variables
represents the presence or absence of a feature for example waterfront lot, corner lotm, air conditioning, or swimming pool. Binary modeling is an effective way for modelers to determine contribution
COV
is based in the raw units of the variable being analyzed such as sq ft of lving area or dollars of sale price
1 Divide the standard deviation by the mean
2 Multiply by 100
Standard deviation
1 Subtract the mean from ea value
2 Square the differrences (squared # always have positive signs)
3 Sum the squared difference
4 divide by the sample size less one (n-i) to obtain the variance
5 Compute the square root of the variance to obtain the standard deviation
Binary Transformations
Also referred to as dummy variables, reflect the presence or absence of an attribute. If present code 1 if absent code 0
scalar transformations
another approach to incorporating qualitative data. poor=-1.50, fair =-.0.80 etc
Multiplicative Transformation
Sq ft of living area by construction quality
Measures of Central tendency
Measures of the center, or average, of data. The common measures are mode, median and mean
Trimmed Mean
Becuase of the potential for the mean to be overly influence by extreme values.
Delete the lowest and the highest 10 percent values and the 5 percent trimmed mean disregards the lowest and highest 5 percent values
Measures of Spread
minimum the smallest value in the array
maximum the largest value
range the difference between the maximum and the minimum value
Average Deviation
measures the spread, or difference between each value and a chosen measure of central tendency, generally the median
Average deviation of median
1 Subtract the median from each value
2 Tate the absolute values fo the difference (drop negative sign)
3 Sum the sign - ignore the differences
4 Divide by the sample size
What is a sales of assessment ratio
R=A/S Ratio =assessed value divided by sale
What do ratio studies measure
two primary aspects of mass apprasal accuracy: level of valuation and uniformity of values.